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R Duggirala

Publications and source records attributed to R Duggirala.

At least 19 recordsLinked to original sources
PubMed2006

Association between variants in the genes for adiponectin and its receptors with insulin resistance syndrome (IRS)-related phenotypes in Mexican Americans.

AIMS/HYPOTHESIS: The aim of this study was to examine whether genetic variation in ADIPOQ, ADIPOR1 and ADIPOR2 may contribute to increased susceptibility to components of the insulin resistance syndrome (IRS). MATERIALS AND METHODS: We genotyped single-nucleotide polymorphisms (SNPs) in ADIPOQ, ADIPOR1 and ADIPOR2 in Mexican American subjects (N=439) and performed an association analysis of IRS-related traits. RESULTS: Of the eight SNPs examined in the ADIPOQ gene, rs4632532 and rs182052 exhibited significant associations with BMI (p=0.029 and p=0.032), fasting specific insulin (p=0.023 and p=0.026), sum of skin folds (SS) (p=0.0089 and p=0.0084) and homeostasis model assessment of insulin sensitivity (HOMA-%S) (p=0.015 and p=0.016). Two other SNPs, rs266729 and rs2241767, were significantly associated with SS (p=0.036 and p=0.013). SNP rs7539542 of ADIPOR1 was significantly associated with BMI, SS and waist circumference (p=0.025, p=0.047 and p=0.0062). Fourteen of the ADIPOR2 SNPs were found to be significantly (p<0.05) associated with fasting plasma triglyceride concentrations. Four of these SNPs (rs10848569, rs929434, rs3809266 and rs12342) were in high pairwise linkage disequilibrium (r (2)=0.99) and were strongly associated with fasting triglyceride levels (p=0.00029, p=0.00016, p=0.00027 and p=0.00021). Adjusting for the effects of BMI and HOMA-%S on triglyceride concentrations increased significance to p=0.000060 for SNP rs929434. Bayesian quantitative trait nucleotide analysis was used to examine all possible models of gene action. Again, SNP rs929434 provided the strongest statistical evidence of an effect on triglyceride concentrations. CONCLUSIONS/INTERPRETATION: These results provide evidence for association of SNPs in ADIPOQ and its receptors with multiple IRS-related phenotypes. Specifically, several genetic variants in ADIPOR2 were strongly associated with decreased triglyceride levels.

Adiponectin↗
PubMed2006

A genome-wide linkage scan for genes controlling variation in urinary albumin excretion in type II diabetes.

The main hallmark of diabetic nephropathy is elevation in urinary albumin excretion. We performed a genome-wide linkage scan in 63 extended families with multiple members with type II diabetes. Urinary albumin excretion, measured as the albumin-to-creatinine ratio (ACR), was determined in 426 diabetic and 431 nondiabetic relatives who were genotyped for 383 markers. The data were analyzed using variance components linkage analysis. Heritability (h2) of ACR was significant in diabetic (h2=0.23, P=0.0007), and nondiabetic (h2=0.39, P=0.0001) relatives. There was no significant difference in genetic variance of ACR between diabetic and nondiabetic relatives (P=0.16), and the genetic correlation (rG=0.64) for ACR between these two groups was not different from 1 (P=0.12). These results suggested that similar genes contribute to variation in ACR in diabetic and nondiabetic relatives. This hypothesis was supported further by the linkage results. Support for linkage to ACR was suggestive in diabetic relatives and became significant in all relatives for chromosome 22q (logarithm of odds, LOD=3.7) and chromosome 7q (LOD=3.1). When analyses were restricted to 59 Caucasian families, support for linkage in all relatives increased and became significant for 5q (LOD=3.4). In conclusion, genes on chromosomes 22q, 5q and 7q may contribute to variation in urinary albumin excretion in diabetic and nondiabetic individuals.

Adult↗
PubMed2006

Evaluation of tight junction protein 1 encoding zona occludens 1 as a candidate gene for albuminuria in a Mexican American population.

Albuminuria, a hallmark of diabetic nephropathy, has been shown to be significantly heritable in multiple studies. Therefore, the identification of genes that affect susceptibility to albuminuria may lead to novel avenues of intervention. Current evidence suggests that the podocyte and slit diaphragm play a key role in controlling the selective sieve of the glomerular filtration barrier, and podocyte-specific genes have been identified that are necessary for maintaining its integrity. We therefore investigated the role of gene variants of tight junction protein (TJP1) which encodes another slit diaphragm-associated protein zona occludens 1 as risk factors for albuminuria in the San Antonio Family Diabetes/Gallbladder Study (SAFDGS), which consists of extended Mexican-American families with a high prevalence of type 2 diabetes. Albuminuria, defined as an albumin (mg/dl) to creatinine (mg/dl) ratio (ACR) of 0.03, which is approximately equivalent to a urinary albumin excretion (UAE) >30 mg/day, was present in a total of 14.9% of participants, and 31% had type 2 diabetes. The TJP1 exons, flanking intronic sequence, and putative proximal promoter regions were investigated in this population. Twentynine polymorphisms, including 7 nonsynonymous SNPs, were identified and genotyped in all subjects of this study for association analysis. Three sets of correlated SNPs, which include 3 exonic SNPs, were nominally associated with ACR (p value range 0.007-0.049); however, the association with the discrete trait albuminuria was not significant (p value range 0.094-0.338). We conclude that these variants in TJP1 do not appear to be major determinants for albuminuria in the SAFDGS; however, they may play a minor role in its severity in this Mexican-American population. Further examination of the TJP1 gene region in this and other cohorts will be useful to determine whether ZO-1 plays a significant role in glomerular permselectivity.

Adolescent↗
PubMed2005

Fishing for pleiotropic QTLs in a polygenic sea.

The application of factor analysis to human genetics has the potential to discover the coordinated control of multiple traits by common environment, common polygenes, or a single major gene. Classical factor analysis explains the covariation among the components of a random vector by approximating the vector by a linear transformation of a small number of uncorrelated factors. In the current paper we show how factor analysis dovetails with the classical variance decompositions of biometrical genetics. To explore the relationships between related quantitative variables, and avoid complicated positive definiteness constraints, we employ Cholesky and factor analytic decompositions. We derive an ECM algorithm and a competing quasi-Newton algorithm for estimating parameters by maximum likelihood and propose tactics for selecting initial parameter values. We also show how parameter asymptotic standard errors under these parameterizations propagate to asymptotic standard errors of the underlying variance components. Our genetic analysis program Mendel, which now incorporates the program Fisher, has performed well on a variety of data sets. We illustrate our methods, algorithms, and models on two data sets: a bivariate quantitative genetic example using total finger ridge count data and a multivariate linkage example using insulin resistance data.

Algorithms↗
PubMed2001

Concordance between the CC chemokine receptor 5 genetic determinants that alter risks of transmission and disease progression in children exposed perinatally to human immunodeficiency virus.

If CC chemokine receptor 5 (CCR5)-dependent mechanisms at the time of initial virus exposure are important determinants of virus entry and disease outcome, then the polymorphisms in CCR5 that influence risk of transmission and disease progression should be similar; this hypothesis was tested in a cohort of 649 Argentinean children exposed perinatally to human immunodeficiency virus type 1 (HIV-1). Two lines of evidence support this hypothesis. First, CCR5 haplotype pairs associated with enhanced risk of transmission were the chief predictors of a faster disease course. Second, some of the haplotype pairs associated with altered rates of transmission and disease progression in children were similar to those that we previously found influenced outcome in European American adults. This concordance suggests that CCR5 haplotypes may serve as genetic rheostats that influence events occurring shortly after initial virus exposure, dictating not only virus entry but, by extension, also the extent of early viral replication.

Acquired Immunodeficiency Syndrome↗
PubMed2001

A major locus for fasting insulin concentrations and insulin resistance on chromosome 6q with strong pleiotropic effects on obesity-related phenotypes in nondiabetic Mexican Americans.

Insulin resistance and hyperinsulinemia are strong correlates of obesity and type 2 diabetes, but little is known about their genetic determinants. Using data on nondiabetics from Mexican American families and a multipoint linkage approach, we scanned the genome and identified a major locus near marker D6S403 for fasting "true" insulin levels (LOD score 4.1, empirical P<.0001), which do not crossreact with insulin precursors. Insulin resistance, as assessed by the homeostasis model using fasting glucose and specific insulin (FSI) values, was also strongly linked (LOD score 3.5, empirical P<.0001) with this region. Two other regions across the genome were found to be suggestively linked to FSI: a location on chromosome 2q, near marker D2S141, and another location on chromosome 6q, near marker D6S264. Since several insulin-resistance syndrome (IRS)-related phenotypes were mapped independently to the regions on chromosome 6q, we conducted bivariate multipoint linkage analyses to map the correlated IRS phenotypes. These analyses implicated the same chromosomal region near marker D6S403 (6q22-q23) as harboring a major gene with strong pleiotropic effects on obesity and on lipid measures, including leptin concentrations (e.g., LOD(eq) for traits-specific insulin and leptin was 4.7). A positional candidate gene for insulin resistance in this chromosomal region is the plasma cell-membrane glycoprotein PC-1 (6q22-q23). The genetic location on chromosome 6q, near marker D6S264 (6q25.2-q26), was also identified by the bivariate analysis as exerting significant pleiotropic influences on IRS-related phenotypes (e.g., LOD(eq) for traits-specific insulin and leptin was 4.1). This chromosomal region harbors positional candidate genes, such as the insulin-like growth factor 2 receptor (IGF2R, 6q26) and acetyl-CoA acetyltransferase 2 (ACAT2, 6q25.3-q26). In sum, we found substantial evidence for susceptibility loci on chromosome 6q that influence insulin concentrations and other IRS-related phenotypes in Mexican Americans.

Adult↗
PubMed2001

Power to localize the major gene for disease liability is increased after accounting for the effects of related quantitative phenotypes.

We used the simulated general population data for Genetic Analysis Workshop 12 to test whether power to localize the major gene for liability to disease is increased after accounting for the effects of correlated quantitative phenotypes. We performed the multipoint variance-component linkage analyses for the discrete trait twice: first analysis with age, sex, and EF1 as covariates, and the second analysis with age, sex, EF1, and Q1-Q5 as covariates. Major locus heritability (h2q) (0.80 +/- 0.06) and lod score (6.4) averaged over the number of replicates used are significantly higher in the second analysis compared with the first analysis (h2q = 0.39 +/- 0.12, lod = 2.6). Thus, in the present analysis, power to detect linkage and localize the genes for liability to disease appears to be increased after accounting for the effects of five quantitative traits that are correlated with the liability.

Chromosome Mapping↗
PubMed2000

A major susceptibility locus influencing plasma triglyceride concentrations is located on chromosome 15q in Mexican Americans.

Although several genetic forms of rare or syndromic hypertriglyceridemia have been reported, little is known about the specific chromosomal regions across the genome harboring susceptibility genes for common forms of hypertriglyceridemia. Therefore, we conducted a genomewide scan for susceptibility genes influencing plasma triglyceride (TG) levels in a Mexican American population. We used both phenotypic and genotypic data from 418 individuals distributed across 27 low-income, extended Mexican American families. For the analyses, TG values were log transformed (ln TG). We used a variance-components technique to conduct multipoint linkage analyses for localizing susceptibility genes that determine variation in TG levels. We used an approximately 10-15-cM map, which was made on the basis of information from 295 microsatellite markers. After accounting for the effects of sex and sex-specific age terms, we found significant evidence for linkage (LOD = 3.88) of ln TG levels to a genetic location between the markers GABRB3 and D15S165 on chromosome 15q. This putative locus explains 39.7+/-7% (P=.000012) of total phenotypic variation in ln TG levels. Suggestive evidence was found for linkage of ln TG levels to two different locations on chromosome 7, which are approximately 85 cM apart from each other. Also, there is some evidence for linkage of high-density lipoprotein cholesterol concentrations to a genetic location near one of the regions on chromosome 7. In conclusion, we found strong evidence for linkage of ln TG levels to a genetic location on chromosome 15q in a Mexican American population, which is prone to disease conditions such as type 2 diabetes and the insulin-resistance syndrome that are associated with hypertriglyceridemia. This putative locus appears to have a major influence on ln TG variation.

Adult↗
PubMed2000

Genetic basis of acanthosis nigricans in Mexican Americans and its association with phenotypes related to type 2 diabetes.

Acanthosis nigricans (AN) is a skin condition associated with hyperinsulinemia and insulin resistance and has been shown to be a risk factor for type 2 diabetes. The influence of genetic factors on AN and the basis of its association with type 2 diabetes and its risk factors are unknown. Using data from 397 participants from two Mexican American family studies, we investigated the heritability of AN and its genetic correlation with other diabetes risk factors. AN was examined as both a continuous trait and a dichotomous trait by means of a previously described validated scale. The results indicated that the heritability (h2) for AN, when examined as a continuous trait, was high (0.58+/-0.10) and statistically significant (P<0.001). The h2 for AN as a dichotomous trait was estimated to be moderate (0.23+/-0.05) and was also significant (P=0.018). The additive genetic correlations between AN (either as a continuous trait or a dichotomous trait) and type 2 diabetes and its risk factors, including body mass index and fasting insulin, were high or moderately high and statistically significant. The random environmental correlations, by contrast, were low and statistically insignificant. These data suggest that genes that influence AN have pleiotropic effects on diabetes and its risk factors.

Acanthosis Nigricans↗
PubMed1999

Genetic determinants of variation in gallbladder disease in the Mexican-American population.

Since there have not been any studies that quantify the influence of genetic factors on gallbladder disease (GBD) in humans using information from families, we utilized pedigree data to explore the genetic control of variation in liability to GBD. Using an extension of a variance components approach, we performed genetic analyses of GBD using information from 32 low-income Mexican-American families with two slightly different general models incorporating several sex-specific GBD risk factors. After evaluating the relative magnitudes of the covariate effects from these two models, we identified a parsimonious model including only significant predictors of GBD. According to this model, heritability for GBD was high (h2 = 0.44+/-0.18), after accounting for the significant effects of age, leptin in both sexes, total cholesterol, and HDL cholesterol in males only. We have shown quantitatively that variation in GBD is under strong genetic control. However, there are two major limitations to our findings: (1) since GBD was defined by a self-reported clinical history rather than an ultrasound examination, the prevalence of GBD could have been underestimated; and (2) since our design did not allow for shared environmental effects, our estimate of heritability may have been inflated.

Adult↗
PubMed1999

Smoking behavior is under the influence of a major quantitative trait locus on human chromosome 5q.

Despite some evidence that smoking behavior is influenced by both genetic and environmental factors, efforts at identifying specific genes that influence smoking are extremely limited. Using information on smoking behavior history for 973 individuals distributed across 105 COGA families and a multipoint variance components method, we tested for linkage between smoking behavior (as defined by number of cigarette packs per day for 1 year) and chromosomal locations across the genome using information from 296 markers. We found strong evidence (lod = 3.2) for linkage of smoking behavior to a genetic location on chromosome 5q (D5S1354). Weaker evidence was found for linkage of smoking behavior to genetic locations on chromosomes 4 (between markers D4S244 and D4S2393), 15 (D15S642), and 17 (GATA193). Oligogenic linkage analyses suggest the putative locus on chromosome 5q is the primary determinant of genetic variation in smoking. Although the magnitude of the lod score is compelling, the large gap between the markers D5S1456 and D5S1354 (which is also at the end of chromosome 5q) in the COGA data set reduces the enthusiasm for this putative quantitative trait locus. However, typing of additional markers in this region may provide greater support for the localization of a susceptibility locus at this chromosomal location, which is not far from the DRD1 (D1 dopamine receptor gene) locus.

Chromosomes, Human, Pair 5↗
PubMed1999

Linkage of type 2 diabetes mellitus and of age at onset to a genetic location on chromosome 10q in Mexican Americans.

Since little is known about chromosomal locations harboring type 2 diabetes-susceptibility genes, we conducted a genomewide scan for such genes in a Mexican American population. We used data from 27 low-income extended Mexican American pedigrees consisting of 440 individuals for whom genotypic data are available for 379 markers. We used a variance-components technique to conduct multipoint linkage analyses for two phenotypes: type 2 diabetes (a discrete trait) and age at onset of diabetes (a truncated quantitative trait). For the multipoint analyses, a subset of 295 markers was selected on the basis of optimal spacing and informativeness. We found significant evidence that a susceptibility locus near the marker D10S587 on chromosome 10q influences age at onset of diabetes (LOD score 3.75) and is also linked with type 2 diabetes itself (LOD score 2.88). This susceptibility locus explains 63.8%+/-9.9% (P=. 000016) of the total phenotypic variation in age at onset of diabetes and 65.7%+/-10.9% (P=.000135) of the total variation in liability to type 2 diabetes. Weaker evidence was found for linkage of diabetes and of age at onset to regions on chromosomes 3p, 4q, and 9p. In conclusion, our strongest evidence for linkage to both age at onset of diabetes and type 2 diabetes itself in the Mexican American population was for a region on chromosome 10q.

Age Factors↗
PubMed1999

A study of loss of heterozygosity at 70 loci in anaplastic astrocytoma and glioblastoma multiforme with implications for tumor evolution.

Cancers that arise from astrocytes in the adult CNS present as either anaplastic astrocytomas (AAs) or as more aggressive glioblastomas multiforme (GBMs). GBMs either form de novo or progress from AAs. We proposed to examine the molecular genetic relationship between these CNS tumors by conducting a genome-wide allelic imbalance analysis that included 70 loci on examples of AA and GBM. We found significant loss of heterozygosity (LOH) at 13 discrete chromosomal loci in both AAs and GBMs. Loss was significant in both AAs and GBMs at 9 of these loci. AAs show the highest rates of LOH at chromosomes 1p, 4q, 6p, 9p, 11p, 11q, 13q, 14q, 15p, 17p, 17q, and 19q. GBMs showed the greatest losses at 1p, 6q, 8p, 9p, 10p, 10q, 11p, 13q, 17p, 17q, 18p, 18q, and 19q. GBMs also demonstrated significant amplification at the epidermal growth factor receptor locus (7p12). These data suggest that there are three classes of loci involved in glioma evolution. First are loci that are likely involved in early events in the evolution of both AAs and GBMs. The second class consists of AA-specific loci, typified by higher LOH frequency than observed in GBMs (4q, 6p, 17p, 17q, 19q). The third class consists of GBM-specific loci (6q, 8p, 10, 18q). Damage at these loci may either lead to de novo GBMs or permit existing AAs to progress to GBMs. Glioma-related LOH profiles may have prognostic implications that could lead to better diagnosis and treatment of brain cancer patients.

Astrocytoma↗
PubMed1998

Variant in sulfonylurea receptor-1 gene is associated with high insulin concentrations in non-diabetic Mexican Americans: SUR-1 gene variant and hyperinsulinemia.

The high-affinity sulfonylurea receptor (SUR1) gene regulates insulin secretion and may play a role in type 2 diabetes. A silent variant in exon 31 of SUR1 (AGG-->AGA) was detected by single-strand conformational polymorphism and genotypes were determined for 396 Mexican American subjects (289 non-diabetic). The normal and mutant alleles were designated G and A, respectively. Among non-diabetics, those with the AA genotype had higher fasting insulin values than those with the AG and GG genotypes (113.4 pmol/l for AA vs 82.8 pmol/l for AG/GG, P=0.043). Similar results were observed for 2-h insulin (849.6 pmol/l for AA vs 498.6 pmol/l for AG/GG, P=0.0003) and for the proinsulin to specific insulin ratio (0.068 for AA vs 0.056 for AG/GG, P=0.030). Specific insulin levels also differed significantly across the three genotypic classes (P=0.021). No differences in fasting glucose, body mass index, or waist circumference according to genotype were noted. Two-hour glucose was modestly higher in individuals with the AA genotype. Since we have previously reported linkage between SUR1 and hyperglycemia, the present association between a SUR1 variant and hyperinsulinemia in normal individuals from a high diabetes risk ethnic group raises the possibility of primary insulin hypersecretion as an antecedent of type 2 diabetes in at least some individuals from this population.

ATP-Binding Cassette Transporters↗
PubMed1997

Genetic structure of the indigenous populations of Siberia.

This study explores the genetic structure of Siberian indigenous populations on the basis of standard blood group and protein markers and DNA variable number of tandem repeats (VNTR) variation. Four analytical methods were utilized in this study: Harpending and Jenkin's R-matrix; Harpending and Ward's method of correlating genetic heterozygosity (H) to the distance from the centroid of the gene frequency array (rii); spatial autocorrelation, and Mantel tests. Because of the underlying assumptions of the various methods, the numbers of populations used in the analyses varied from 15 to 62. Since spatial autocorrelation is based upon separate correlations between alleles, a larger number of standard blood markers and populations were used. Fewest Siberian populations have been sampled for VNTRs, thus, only a limited comparison was possible. The four analytical procedures employed in this study yielded complementary results suggestive of the effects of unique historical events, evolutionary forces, and geography on the distribution of alleles in Siberian indigenous populations. The principal components analysis of the R-matrix demonstrated the presence of populational clusters that reflect their phylogenetic relationship. Mantel comparisons of matrices indicate that an intimate relationship exists between geography, languages, and genetics of Siberian populations. Spatial autocorrelation patterns reflect the isolation-by-distance model of Malecot and the possible effects of long-distance migration.

ABO Blood-Group System↗
PubMed1997

A variance component approach to dichotomous trait linkage analysis using a threshold model.

We developed and utilized a multipoint variance components method to test for linkage between a disease trait and markers on chromosome 5 in the simulated data provided in GAW10 Problem 2. We demonstrated that the discrete trait variance components method recovers unbiased estimates of quantitative trait locus (QTL) location and reasonable estimates of effect size. We also showed that dichotomization of (a continuous trait such as) Q1 diminished the power to detect linkage compared to direct analysis of Q1, and that extended pedigree analyses provided superior power to detect linkage compared to those in nuclear families.

Analysis of Variance↗
PubMed1996

Evidence for linkage of regions on chromosomes 6 and 11 to plasma glucose concentrations in Mexican Americans.

The genetic factors involved in type II diabetes are still unknown. To address this problem, we are creating a 10 to 15 cM genetic map on 444 individuals from 32 Mexican American families ascertained on a type II diabetic proband. Using highly polymorphic microsatellite markers and a multipoint variance components method, we found evidence for linkage of plasma glucose concentration 2 hr after oral glucose administration to two regions on chromosome 11: beta-hemoglobin (HBB) and markers D11S899/D11S1324 near the sulfonylurea receptor (SUR) gene. Iod scores at these two loci were 2.77 and 3.37, respectively. The SUR gene region accounted for 44.7% of the phenotypic variance. Evidence for linkage to fasting glucose concentration was also observed for two loci on chromosome 6, one of which is identical to a proposed susceptibility locus for type I diabetes (D6S290). When diabetics were excluded from the analyses, all Iod scores became zero, suggesting that the observed linkages were with the trait diabetes rather than with normal variation in glucose levels. Results were similar whether all diabetics were included in the analyses or only those who were not under treatment with oral antidiabetic agents or insulin.

Blood Glucose↗